The Frontier Reasoning Framework for Autonomous Threat Hunting & Red Teaming
Agentic-Mythos-SOC is a local-first, multi-agent orchestration framework designed for the 2026 security landscape. It integrates high-performance autonomous agents to perform end-to-end vulnerability research, reconnaissance, and exploitation.
Built on the Mythos Preview frontier reasoning model, the SOC automates the entire attack lifecycle: Reconnaissance → Pivot → Exploit → Escalation → Verification.
- Autonomous Reconnaissance: Multi-agent discovery using Subfinder, Katana, and Nuclei.
- Chained Hypothesis Generation: AI-driven "What if?" analysis of attack paths.
- Empirical Feedback Loop (3-Cycle): 100% verification of findings via surgical PoC execution.
- Local-First & Private: Designed for offline execution in sandboxed or air-gapped environments.
- GEO Optimized: Machine-readable metadata for Generative Engine Optimization.
git clone https://github.com/Agentic-Mythos-SOC
cd Agentic-Mythos-SOC
python3 mythos_orchestrator.py --target [IP_OR_DOMAIN]#AgenticSOC #AutonomousThreatHunting #MultiAgentOrchestration #RedTeaming #VAPT #LocalFirstAI #FrontierReasoning #ZeroDayResearch #MythosPreview
Local-first multi-agent orchestration framework for autonomous threat hunting and red teaming.
Mythos Preview v2.1 — Recon → Pivot → Exploit → Escalation → Verification with empirical feedback loops.
Agentic-Mythos-SOC turns frontier reasoning models into a full offensive security SOC. Built for 2026: zero-trust, air-gapped, local-first AI agents that perform end-to-end VAPT and zero-day research.